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<li class="navelem"><a class="el" href="dir_5956a3e80a20e8e03eb577bedb92689f.html">gpu</a></li><li class="navelem"><a class="el" href="dir_a3cfb31331d59041de4557cf2bb4fd3c.html">perf</a></li>  </ul>
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<div class="title">PerfSelect.cu</div>  </div>
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<div class="contents">
<div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">/**</span></div>
<div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment"> * Copyright (c) Facebook, Inc. and its affiliates.</span></div>
<div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment"> * This source code is licensed under the MIT license found in the</span></div>
<div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment"> * LICENSE file in the root directory of this source tree.</span></div>
<div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment"> */</span></div>
<div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;</div>
<div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;</div>
<div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="preprocessor">#include &quot;../utils/DeviceDefs.cuh&quot;</span></div>
<div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="preprocessor">#include &quot;../utils/DeviceUtils.h&quot;</span></div>
<div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="preprocessor">#include &quot;../utils/BlockSelectKernel.cuh&quot;</span></div>
<div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="preprocessor">#include &quot;../utils/WarpSelectKernel.cuh&quot;</span></div>
<div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="preprocessor">#include &quot;../utils/HostTensor.cuh&quot;</span></div>
<div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="preprocessor">#include &quot;../utils/DeviceTensor.cuh&quot;</span></div>
<div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="preprocessor">#include &quot;../test/TestUtils.h&quot;</span></div>
<div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="preprocessor">#include &lt;algorithm&gt;</span></div>
<div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="preprocessor">#include &lt;gflags/gflags.h&gt;</span></div>
<div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="preprocessor">#include &lt;gtest/gtest.h&gt;</span></div>
<div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="preprocessor">#include &lt;sstream&gt;</span></div>
<div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="preprocessor">#include &lt;unordered_map&gt;</span></div>
<div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="preprocessor">#include &lt;vector&gt;</span></div>
<div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;</div>
<div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;DEFINE_int32(rows, 10000, <span class="stringliteral">&quot;rows in matrix&quot;</span>);</div>
<div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;DEFINE_int32(cols, 40000, <span class="stringliteral">&quot;cols in matrix&quot;</span>);</div>
<div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;DEFINE_int32(k, 100, <span class="stringliteral">&quot;k&quot;</span>);</div>
<div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;DEFINE_bool(dir, <span class="keyword">false</span>, <span class="stringliteral">&quot;direction of sort&quot;</span>);</div>
<div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;DEFINE_bool(warp, <span class="keyword">false</span>, <span class="stringliteral">&quot;warp select&quot;</span>);</div>
<div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;DEFINE_int32(iter, 5, <span class="stringliteral">&quot;iterations to run&quot;</span>);</div>
<div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;DEFINE_bool(k_powers, <span class="keyword">false</span>, <span class="stringliteral">&quot;test k powers of 2 from 1 -&gt; max k&quot;</span>);</div>
<div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;</div>
<div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;<span class="keywordtype">int</span> main(<span class="keywordtype">int</span> argc, <span class="keywordtype">char</span>** argv) {</div>
<div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;  gflags::ParseCommandLineFlags(&amp;argc, &amp;argv, <span class="keyword">true</span>);</div>
<div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;</div>
<div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;  std::vector&lt;float&gt; v = faiss::gpu::randVecs(FLAGS_rows, FLAGS_cols);</div>
<div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1HostTensor.html">faiss::gpu::HostTensor&lt;float, 2, true&gt;</a> hostVal({FLAGS_rows, FLAGS_cols});</div>
<div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;</div>
<div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> r = 0; r &lt; FLAGS_rows; ++r) {</div>
<div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">int</span> c = 0; c &lt; FLAGS_cols; ++c) {</div>
<div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;      hostVal[r][c] = v[r * FLAGS_cols + c];</div>
<div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;    }</div>
<div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;  }</div>
<div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;</div>
<div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;  <span class="comment">// Select top-k on GPU</span></div>
<div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html">faiss::gpu::DeviceTensor&lt;float, 2, true&gt;</a> gpuVal(hostVal, 0);</div>
<div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;</div>
<div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;  <span class="keywordtype">int</span> startK = FLAGS_k;</div>
<div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;  <span class="keywordtype">int</span> limitK = FLAGS_k;</div>
<div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;</div>
<div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;  <span class="keywordflow">if</span> (FLAGS_k_powers) {</div>
<div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;    startK = 1;</div>
<div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;    limitK = GPU_MAX_SELECTION_K;</div>
<div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;  }</div>
<div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;</div>
<div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> k = startK; k &lt;= limitK; k *= 2) {</div>
<div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;    <a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html">faiss::gpu::DeviceTensor&lt;float, 2, true&gt;</a> gpuOutVal({FLAGS_rows, k});</div>
<div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;    <a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html">faiss::gpu::DeviceTensor&lt;int, 2, true&gt;</a> gpuOutInd({FLAGS_rows, k});</div>
<div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;</div>
<div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; FLAGS_iter; ++i) {</div>
<div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;      <span class="keywordflow">if</span> (FLAGS_warp) {</div>
<div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;        faiss::gpu::runWarpSelect(gpuVal, gpuOutVal, gpuOutInd,</div>
<div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;                                  FLAGS_dir, k, 0);</div>
<div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;      } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;        faiss::gpu::runBlockSelect(gpuVal, gpuOutVal, gpuOutInd,</div>
<div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;                                   FLAGS_dir, k, 0);</div>
<div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;      }</div>
<div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;    }</div>
<div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;  }</div>
<div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;</div>
<div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;  cudaDeviceSynchronize();</div>
<div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;}</div>
<div class="ttc" id="classfaiss_1_1gpu_1_1HostTensor_html"><div class="ttname"><a href="classfaiss_1_1gpu_1_1HostTensor.html">faiss::gpu::HostTensor</a></div><div class="ttdef"><b>Definition:</b> <a href="HostTensor_8cuh_source.html#l00020">HostTensor.cuh:20</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1DeviceTensor_html"><div class="ttname"><a href="classfaiss_1_1gpu_1_1DeviceTensor.html">faiss::gpu::DeviceTensor&lt; float, 2, true &gt;</a></div></div>
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